DocumentCode
1902718
Title
Notice of Retraction
Research and Application of Iterative Learning Control for Nonlinear Systems
Author
Shaocheng Qu ; Junnian Huang
Author_Institution
Dept. of Inf. & Technol., Huazhong Normal Univ., Wuhan, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper analyzes the iterative learning control, and utilizes the theory of iterative learning control to study using PID open-loop iterative learning control algorithm to track the ordered curves for a class of the nonlinear problems which are exist actually in some control systems. According to the theory of full trace in the control of practical tracking, these experiments fully track a nonlinear system. With the increasing number of iterations, the output signal is closer to the expected signal. Finally we concluded that the PID open-loop iterative learning control algorithm is applied to such issues by analyzing the process of the simulation and the results of the simulation.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper analyzes the iterative learning control, and utilizes the theory of iterative learning control to study using PID open-loop iterative learning control algorithm to track the ordered curves for a class of the nonlinear problems which are exist actually in some control systems. According to the theory of full trace in the control of practical tracking, these experiments fully track a nonlinear system. With the increasing number of iterations, the output signal is closer to the expected signal. Finally we concluded that the PID open-loop iterative learning control algorithm is applied to such issues by analyzing the process of the simulation and the results of the simulation.
Keywords
adaptive control; iterative methods; learning systems; nonlinear control systems; three-term control; PID open-loop iterative learning control algorithm; nonlinear problems; nonlinear systems; Analytical models; Convergence; Iterative algorithm; Nonlinear systems; Process control; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Type
conf
DOI
10.1109/ICIECS.2010.5678418
Filename
5678418
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